| 4657 |
Centers for Disease Control and Prevention |
Html |
en |
Surveillance of obesity-related policies in multiple environments: the Missouri Obesity, Nutrition, and Activity Policy Database |
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| environments | 0.741961 |
| state policy progress | 0.573851 |
| obesity-related local policies | 0.640768 |
| key informants | 0.60952 |
| obesity policy | 0.573142 |
| MoNAP Policy Checklist | 0.568935 |
| school | 0.625299 |
| multiple environments | 0.672347 |
| local policy database | 0.577225 |
| obesity prevention | 0.576522 |
| Missouri obesity rates | 0.572457 |
| local environments | 0.572159 |
| Activity Policy Database | 0.609595 |
| missouri obesity | 0.608657 |
| obesity-related policy environment | 0.602017 |
| healthy eating | 0.636272 |
| health care environments | 0.585086 |
| Zealand Health Policy | 0.571763 |
| community | 0.589462 |
| nested cluster design | 0.581504 |
| counties | 0.5951 |
| school environment | 0.597187 |
| city | 0.573357 |
| obesity-related policy occurrence | 0.599697 |
| child care environments | 0.613749 |
|
| child care | 0.675878 |
| chronic disease policy | 0.567435 |
| Missouri | 0.647844 |
| local policy surveillance | 0.573992 |
| health care | 0.842001 |
| public health | 0.57126 |
| policy | 0.754409 |
| health care systems | 0.593378 |
| key informant interviews | 0.61487 |
| city policies | 0.573121 |
| school environments | 0.570437 |
| high policy occurrence | 0.58446 |
| geographically representative baseline | 0.579939 |
| Missouri statewide obesity | 0.57983 |
| target environments | 0.644058 |
| stratified nested cluster | 0.583682 |
| low funding levels | 0.579122 |
| physical activity | 0.716241 |
| obesity-related policies | 0.971809 |
| obesity epidemic | 0.61211 |
| Missouri school children | 0.568296 |
| promising local policies | 0.582937 |
| obesity-related policy | 0.602319 |
| particularly influential policies | 0.575737 |
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| 8639 |
Centers for Disease Control and Prevention |
Html |
en |
PanFlu Storybook - In Memorial, Samuel C. Bowen, M.D. |
In Memorial, To date, October 1918 remains the deadliest month in U.S. history when approximately 200,000 Americans died of the flu. Healthy, young adults (average age 35 years) began coughing in the morning and were dead by the evening. The family stories described in this section define true courage amid unbearable loss. |
| influenza | 0.44001 |
| nose | 0.438884 |
| Tazewell County | 0.585924 |
| list Skip | 0.780257 |
| Harry Lee Thompson | 0.676154 |
| distinction | 0.439893 |
| Chicago | 0.438824 |
| Irene Bowen Wendell | 0.881648 |
| page options Skip | 0.929852 |
| Doctor | 0.424401 |
| navigation Skip | 0.783126 |
|
| flu | 0.435397 |
| Dr. Bowen | 0.757521 |
| Maiden Spring Homestead | 0.725069 |
| Virginia Medical College | 0.684312 |
| throat surgeon | 0.585859 |
| Samuel Cecil Bowen | 0.84961 |
| Storyteller | 0.439796 |
| ear | 0.434025 |
| Palmer House Hotel | 0.683986 |
| nephew | 0.442406 |
| Prominent eye | 0.574348 |
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| 8850 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | A Church-Based Diet and Physical Activity Intervention for Rural, Lower Mississippi Delta African American Adults: Delta Body and Soul Effectiveness Study, 2010"2011 - CDC |
Obesity, diabetes, and hypertension have reached epidemic levels in the largely rural Lower Mississippi Delta (LMD) region. We assessed the effectiveness of a 6-month, church-based diet and physical activity intervention, conducted during 2010 through 2011, for improving diet quality (measured by the Healthy Eating Index-2005) and increasing physical activity of African American adults in the LMD region. |
| significant increases | 0.589878 |
| intervention participation level | 0.626547 |
| control group | 0.599703 |
| church-based dietary intervention | 0.620465 |
| participation intervention group | 0.612973 |
| intervention group | 0.695853 |
| LMD region | 0.576487 |
| original intervention | 0.592008 |
| increase physical activity | 0.593413 |
| physical activity changes | 0.582223 |
| Intervention church committees | 0.613504 |
| high-participation intervention | 0.646944 |
| intervention functions | 0.591417 |
| didactic physical activity | 0.576463 |
| physical activity outcomes | 0.579914 |
| underactive regular light | 0.576697 |
| current intervention | 0.591066 |
| physical activity component | 0.577304 |
| aerobic physical activity | 0.632498 |
| low participation intervention | 0.602723 |
| 6-month intervention | 0.592843 |
| intervention participants | 0.682188 |
| physical activity intervention | 0.664363 |
| intervention | 0.811892 |
| strength/flexibility physical activity | 0.629302 |
|
| intervention churches | 0.608221 |
| study | 0.582706 |
| Agricultural Research Service | 0.584389 |
| intervention effects | 0.634229 |
| intervention components | 0.587133 |
| high-participation intervention subgroup | 0.597831 |
| educational sessions | 0.668155 |
| diet quality components | 0.589075 |
| lifestyle intervention | 0.605909 |
| African American adults | 0.861327 |
| LMD African American | 0.591077 |
| clinical outcomes | 0.600542 |
| intervention effect | 0.588792 |
| African American churches | 0.605015 |
| intervention activities | 0.612942 |
| high-participation intervention group | 0.638855 |
| intervention dose | 0.58034 |
| self-directed physical activity | 0.595449 |
| physical activity indicators | 0.583414 |
| physical activity | 0.990658 |
| vehicle ownership | 0.635554 |
| intervention schedule | 0.579912 |
| diet quality | 0.764882 |
| significant dietary intervention | 0.614855 |
|
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| 10328 |
Centers for Disease Control and Prevention |
Html |
en |
HAN Archive - 00342'Health Alert Network (HAN) |
Health Alert Network (HAN). Provided by the Centers for Disease Control and Prevention (CDC). |
| CDC | 0.783568 |
| fungal illness | 0.548297 |
| symptomatic area | 0.580043 |
| epidural abscesses | 0.530664 |
| persistent baseline pain | 0.607169 |
| CDC’s HAN | 0.574668 |
| Health Alert Network | 0.804668 |
| subsequent patient outreach | 0.587943 |
| Contaminated Steroid Products | 0.579988 |
| fungal infection | 0.866703 |
| clinicians | 0.565545 |
| NECC steroid medications | 0.609218 |
| steroid injections | 0.528881 |
| patients | 0.950707 |
| paraspinal infections | 0.738348 |
| public health partners | 0.600321 |
| epidural abscess | 0.625993 |
| mild clinical presentation | 0.594703 |
| methylprednisolone acetate | 0.839868 |
| recent cases | 0.520453 |
| prior negative evaluation | 0.567333 |
| repeat MRI studies | 0.747531 |
| New England Compounding | 0.621299 |
| paraspinal injections | 0.543743 |
|
| new cases | 0.592604 |
| fungal meningitis | 0.649734 |
| prolonged incubation period | 0.778426 |
| CDC Health Alert | 0.698845 |
| baseline symptoms | 0.721221 |
| magnetic resonance imaging | 0.59687 |
| contaminated methylprednisolone acetate | 0.63323 |
| initially normal imaging | 0.58009 |
| abnormal MRI findings | 0.63938 |
| new reports | 0.52611 |
| predominant clinical syndrome | 0.600282 |
| enhances health decisions | 0.576161 |
| critical health issues | 0.581987 |
| mg/ml Injection | 0.674715 |
| paraspinal injection | 0.804972 |
| minimal symptoms | 0.527319 |
| local health departments | 0.595364 |
| fungal disease | 0.552842 |
| http://emergency.cdc.gov/HAN/han00338.asp), MRI testing | 0.642912 |
| fungal infections | 0.790975 |
| newly identified case-patients | 0.587419 |
| Parameningeal Infections Associated | 0.612744 |
| different patients | 0.550084 |
| baseline chronic pain | 0.765797 |
|
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| 10417 |
Centers for Disease Control and Prevention |
Html |
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Know the Signs and Symptoms of a Stroke Fact Sheet'Data & Statistics'DHDSP'CDC |
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| prevention activities | 0.497881 |
| previous stroke | 0.783411 |
| stroke cost | 0.758689 |
| brain cells | 0.510492 |
| permanent disability | 0.514469 |
| ethnic groups | 0.50453 |
| publication | 0.416583 |
| state health departments | 0.577202 |
| High blood pressure | 0.60495 |
| Geographic Disparities | 0.518583 |
| oxygen | 0.419234 |
| deaths | 0.419765 |
| ischemic type | 0.553722 |
| CDC supports— | 0.502852 |
| health professionals | 0.498544 |
| blood vessel bursts | 0.629959 |
| Americans | 0.415777 |
| heart attack increase | 0.599597 |
| cerebrovascular accident | 0.527882 |
| American Heart Association | 0.768229 |
| symptoms | 0.4167 |
| state maps | 0.499983 |
| chances | 0.422998 |
| tailor prevention policies | 0.585046 |
| county–level stroke death | 0.835708 |
|
| stroke networks | 0.795801 |
| programs | 0.416243 |
| 33 billion | 0.507337 |
| greatest burden | 0.502214 |
| United States | 0.764115 |
| hemorrhagic stroke | 0.827281 |
| largest U.S. | 0.500838 |
| United Sates | 0.525822 |
| smoking | 0.415878 |
| timely treatment | 0.504444 |
| extensive series | 0.501463 |
| ischemic stroke | 0.848573 |
| strokes | 0.425233 |
| advocacy strategies | 0.499043 |
| rates | 0.416487 |
| impairments | 0.423926 |
| stroke | 0.957739 |
| people | 0.434826 |
| blood supply | 0.522176 |
| partners | 0.416216 |
| Stroke Mortality | 0.739917 |
| risk | 0.416726 |
| information | 0.416315 |
| recurrent attacks | 0.516777 |
|
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| 11736 |
Centers for Disease Control and Prevention |
Html |
en |
Norovirus | Trends and Outbreaks | CDC |
Describes trends in norovirus outbreaks, who is at risk, symptoms, how it spreads |
| Operation Iraqi Freedom | 0.538601 |
| child care centers | 0.532116 |
| banquet halls | 0.474584 |
| recreational water settings | 0.561236 |
| ship docks | 0.473558 |
| British troops | 0.474399 |
| Foodborne Outbreak Online | 0.560587 |
| environmental contamination | 0.474166 |
| campus closures | 0.471659 |
| common disinfectants | 0.477631 |
| touching things | 0.487582 |
| infected crew | 0.496431 |
| new strain | 0.489624 |
| Health care facilities | 0.546308 |
| healthcare facilities | 0.478027 |
| healthy people | 0.474957 |
| diarrheal disease outbreaks | 0.731504 |
| contaminated food | 0.684843 |
| U.S. Marines | 0.475322 |
| Public Health Professionals | 0.534274 |
| outbreaks | 0.988484 |
| Web site | 0.473836 |
| foodborne outbreaks | 0.762906 |
| nursing homes | 0.479646 |
|
| norovirus outbreaks | 0.91969 |
| United States | 0.622398 |
| industrialized countries | 0.484292 |
| rapid turnover | 0.472862 |
| family dinners | 0.476506 |
| norovirus illness are— | 0.625051 |
| ready-to-eat foods | 0.482891 |
| military encampments | 0.475606 |
| certain foods | 0.474657 |
| norovirus illness | 0.713077 |
| close living quarters | 0.533388 |
| infected people | 0.511233 |
| commonly reported settings | 0.569544 |
| contaminated water | 0.646097 |
| food-related illness | 0.524858 |
| bare hands | 0.475091 |
| food workers | 0.536745 |
| common cause | 0.522121 |
| long-term care facilities | 0.543391 |
| cruise ships | 0.523224 |
| Healthcare Settings | 0.501181 |
| nursing home patients | 0.542745 |
| institutional settings | 0.488893 |
| raw fruits | 0.474226 |
|
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| 12518 |
Centers for Disease Control and Prevention |
Video |
en |
Patient Safety Analysis: Updates and new items for 2015 |
This Hot Topic presentation is on Patient Safety Analysis with new and updated analysis items introduced to NHSN reporting for 2015. This protocol is used for reporting to the National Healthcare Safety Network for the CMS Hospital Inpatient Quality Reporting Program.
Comments on this video are allowed in accordance with our comment policy: http://www.cdc.gov/SocialMedia/Tools/CommentPolicy.html
This video can also be viewed at
http://streaming.cdc.gov/vod.php?id=23105d99b2b260b1054b8cb546d7254620141119091809546 |
| Patient Safety Analysis | 0.977467 |
| Updates | 0.534056 |
|
|
CLICK HERE |
| 12784 |
Centers for Disease Control and Prevention |
Html |
en |
Donning: Error Catching and Pro-active Assistance PersonalProtective Equipment (PPE) | Ebola Hemorrhagic Fever | CDC |
null |
| colleague’s attention | 0.562527 |
| PPE | 0.535324 |
| final check | 0.412155 |
| fresh surgical scrubs | 0.793646 |
| Draw items | 0.42284 |
| good time | 0.413302 |
| proactive risk monitoring | 0.806222 |
|
| common sense | 0.405753 |
| ID badges | 0.942011 |
| fit issues | 0.393633 |
| possible points | 0.481333 |
| examples | 0.232356 |
| contamination risks | 0.461753 |
| donning process | 0.606207 |
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| 13007 |
Centers for Disease Control and Prevention |
Html |
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Kristy's Biography | Real Stories | Tips From Former Smokers |
Kristy tried using e-cigarettes to quit smoking, but she kept smoking regular cigarettes along with e-cigarettes. She kept on smoking until her lung collapsed. The Tips From Former Smokers campaign features real people suffering as a result of smoking and exposure to secondhand smoke. |
| terrifying | 0.425989 |
| smoking-related disease | 0.503976 |
| dad | 0.42129 |
| electronic cigarettes | 0.528039 |
| cough | 0.425902 |
| long-haul truck driver | 0.592858 |
| mother | 0.444642 |
| road | 0.44754 |
| stressful events | 0.507121 |
| deep smoker | 0.518667 |
| energy | 0.421481 |
| family members | 0.611344 |
| 7-year-old daughter | 0.513236 |
| packs | 0.422093 |
| somebody | 0.45583 |
| friends | 0.424963 |
| lung | 0.604681 |
| regular smoker | 0.517031 |
| obstructive pulmonary disease | 0.596552 |
| powerful pain medicine | 0.596382 |
| fact | 0.422243 |
| Kristy | 0.955838 |
| Tennessee | 0.424844 |
| right lung | 0.534699 |
| older sister | 0.519895 |
|
| smokers | 0.420766 |
| life | 0.436612 |
| footsteps | 0.427032 |
| Tests | 0.422264 |
| wake-up call—sudden | 0.513706 |
| emphysema | 0.424381 |
| cigarette smoking | 0.519122 |
| breath | 0.487569 |
| regular cigarettes | 0.727522 |
| small town | 0.523916 |
| young age | 0.494063 |
| hospital | 0.476923 |
| kids | 0.445641 |
| lung diseases | 0.525456 |
| smoking many times | 0.507118 |
| chest tubes | 0.509825 |
| e-cigarettes | 0.475707 |
| people | 0.438452 |
| way | 0.422945 |
| home | 0.446702 |
| afternoon | 0.421845 |
| money | 0.420975 |
| collapsed lung | 0.546865 |
| COPD | 0.450795 |
|
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| 16251 |
Centers for Disease Control and Prevention |
Html |
en |
FastStats - Adolescent Health |
null |
| Summary Health Statistics | 0.92978 |
| PDF | 0.337247 |
| adolescents | 0.526416 |
| Percent | 0.432196 |
| United States | 0.301064 |
|
| Health Statistics Tables | 0.929398 |
| Health Interview Survey | 0.92625 |
| National Health Interview | 0.926632 |
| source | 0.378207 |
|
CLICK HERE |